IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-00592018.html
   My bibliography  Save this paper

Linkage Principle, Multi-dimensional Signals and Blind Auctions

Author

Listed:
  • Stefano Lovo

    (GREGH - Groupement de Recherche et d'Etudes en Gestion à HEC - HEC Paris - Ecole des Hautes Etudes Commerciales - CNRS - Centre National de la Recherche Scientifique)

  • Thierry Foucault

    (GREGH - Groupement de Recherche et d'Etudes en Gestion à HEC - HEC Paris - Ecole des Hautes Etudes Commerciales - CNRS - Centre National de la Recherche Scientifique)

Abstract

We compare the seller's expected revenue in a second price sealed bid auction for a single object in which bidders receive multidimensional signals. Bidders' valuations for the object depend on their signals and a signal observed privately by the seller. We show in various examples that the seller can be better off not revealing publicly his signal. Hence the linkage principle does not necessarily hold when bidders receive multidimensional signals.

Suggested Citation

  • Stefano Lovo & Thierry Foucault, 2011. "Linkage Principle, Multi-dimensional Signals and Blind Auctions," Working Papers hal-00592018, HAL.
  • Handle: RePEc:hal:wpaper:hal-00592018
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kavajecz, Kenneth A. & Keim, Donald B., 2005. "Packaging Liquidity: Blind Auctions and Transaction Efficiencies," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 40(3), pages 465-492, September.
    2. Bergemann, Dirk & Pesendorfer, Martin, 2007. "Information structures in optimal auctions," Journal of Economic Theory, Elsevier, vol. 137(1), pages 580-609, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Heumann, Tibor, 2019. "An ascending auction with multi-dimensional signals," Journal of Economic Theory, Elsevier, vol. 184(C).
    2. Bergemann, Dirk & Pesendorfer, Martin, 2007. "Information structures in optimal auctions," Journal of Economic Theory, Elsevier, vol. 137(1), pages 580-609, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bergemann, Dirk & Wambach, Achim, 2015. "Sequential information disclosure in auctions," Journal of Economic Theory, Elsevier, vol. 159(PB), pages 1074-1095.
    2. Juan-Jose Ganuza & Jose S. Penalva-Zuasti, 2005. "On Information Revelation in Private Value Auctions," Levine's Working Paper Archive 666156000000000520, David K. Levine.
    3. Juan-José Ganuza & José S. Penalva Zuasti, 2005. "On Information and Competition in Private Value Auctions," Working Papers wp2005_0503, CEMFI.
    4. Suehyun Kwon, 2018. "Selling Complementary Goods: Information and Products," CESifo Working Paper Series 7394, CESifo.
    5. Terstiege, Stefan, 2013. "Precontractual Investigation and Sequential Screening," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 429, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    6. Ronald M. Harstad, 2007. "Does a Seller Really Want Another Bidder?," Working Papers 0711, Department of Economics, University of Missouri.
    7. Gottardi, Piero & Mezzetti, Claudio, 2020. "Mediation Design," The Warwick Economics Research Paper Series (TWERPS) 1248, University of Warwick, Department of Economics.
    8. Jonathan B. Berk & Jules H. Van Binsbergen, 2022. "Regulation of Charlatans in High‐Skill Professions," Journal of Finance, American Finance Association, vol. 77(2), pages 1219-1258, April.
    9. Jakub Kastl & Marco Pagnozzi & Salvatore Piccolo, 2018. "Selling information to competitive firms," RAND Journal of Economics, RAND Corporation, vol. 49(1), pages 254-282, March.
    10. Dirk Bergemann & Stephen Morris, 2013. "Robust Predictions in Games With Incomplete Information," Econometrica, Econometric Society, vol. 81(4), pages 1251-1308, July.
    11. Schweizer, Nikolaus & Szech, Nora, 2017. "Revenues and welfare in auctions with information release," Journal of Economic Theory, Elsevier, vol. 170(C), pages 86-111.
    12. Hao Li & Xianwen Shi, 2017. "Discriminatory Information Disclosure," American Economic Review, American Economic Association, vol. 107(11), pages 3363-3385, November.
    13. Dirk Bergemann & Alessandro Pavan, 2015. "Introduction to JET Symposium Issue on "Dynamic Contracts and Mechanism Design"," Cowles Foundation Discussion Papers 2016, Cowles Foundation for Research in Economics, Yale University.
    14. Kolotilin, Anton, 2015. "Experimental design to persuade," Games and Economic Behavior, Elsevier, vol. 90(C), pages 215-226.
    15. Jacques Crémer & Yossi Spiegel & Charles Zheng, 2009. "Auctions with costly information acquisition," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 38(1), pages 41-72, January.
    16. Maxim Ivanov, 2021. "Optimal monotone signals in Bayesian persuasion mechanisms," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 72(3), pages 955-1000, October.
    17. Marco Pagano & Paolo Volpin, 2010. "Credit ratings failures and policy options [Cash-in-the-market pricing and optimal resolution of bank failures]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 25(62), pages 401-431.
    18. Gill, David & Sgroi, Daniel, 2012. "The optimal choice of pre-launch reviewer," Journal of Economic Theory, Elsevier, vol. 147(3), pages 1247-1260.
    19. Justin Jia & Ronald M. Harstad & Michael H. Rothkopf, 2010. "Information Variability Impacts in Auctions," Decision Analysis, INFORMS, vol. 7(1), pages 137-142, March.
    20. Michael Ostrovsky & Michael Schwarz, 2010. "Information Disclosure and Unraveling in Matching Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 2(2), pages 34-63, May.

    More about this item

    Keywords

    Auction Theory; Linkage Principle; Multidimensional Signals; Blind Auctions;
    All these keywords.

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:wpaper:hal-00592018. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.